{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset tutorial\n",
    "\n",
    "This notebook walks you through loading the datasets from The Well, processing the data and using a dataset to train a simple neural network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Uncomment and run the following line to install the_well\n",
    "# !pip install the_well[benchmark]\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "from einops import rearrange\n",
    "from neuralop.models import FNO\n",
    "from tqdm import tqdm\n",
    "\n",
    "from the_well.benchmark.metrics import VRMSE\n",
    "from the_well.data import WellDataset\n",
    "from the_well.data.normalization import (  # noqa: F401\n",
    "    RMSNormalization,\n",
    "    ZScoreNormalization,\n",
    ")\n",
    "from the_well.utils.download import well_download\n",
    "\n",
    "device = \"cuda\"\n",
    "base_path = \"./datasets\"  # path/to/storage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download data\n",
    "\n",
    "First let's download the data relevant for this tutorial. In this notebook, we use `turbulent_radiative_layer_2D` as it is the smallest dataset in The Well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "well_download(base_path=base_path, dataset=\"turbulent_radiative_layer_2D\", split=\"train\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "well_download(base_path=base_path, dataset=\"turbulent_radiative_layer_2D\", split=\"valid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset object\n",
    "\n",
    "To load a dataset from The Well, the easiest way is to use the `WellDataset` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = WellDataset(\n",
    "    well_base_path=f\"{base_path}/datasets\",\n",
    "    well_dataset_name=\"turbulent_radiative_layer_2D\",\n",
    "    well_split_name=\"train\",\n",
    "    n_steps_input=4,\n",
    "    n_steps_output=1,\n",
    "    use_normalization=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset object is an instance of a PyTorch dataset (`torch.utils.data.Dataset`). Each item in the dataset is a dictionnary that contains 6 elements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['input_fields',\n",
       " 'output_fields',\n",
       " 'constant_scalars',\n",
       " 'boundary_conditions',\n",
       " 'space_grid',\n",
       " 'input_time_grid',\n",
       " 'output_time_grid']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item = dataset[0]\n",
    "\n",
    "list(item.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most important elements are `input_fields` and `output_fields`. They represent the time-varying physical fields of the dynamical system and are generally the input and target of our models. For a dynamical system that has 2 spatial dimensions $x$ and $y$, `input_fields` would have a shape $(T_{in}, L_x, L_y, F)$ and `output_fields` would have a shape $(T_{out}, L_x, L_y, F)$. The number of input and output timesteps $T_{in}$ and $T_{out}$ are specified at the instantiation of the dataset with the arguments `n_steps_input` and `n_steps_output`. $L_x$ and $L_y$ are the lengths of the spatial dimensions. $F$ represents the number of physical fields, where vector fields $v = (v_x, v_y)$ and tensor fields $t = (t_{xx}, t_{xy}, t_{yx}, t_{yy})$ are flattened."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([4, 128, 384, 4])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item[\"input_fields\"].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 128, 384, 4])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item[\"output_fields\"].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can access the names of the fields in `dataset.metadata.field_names`. The names are organized by the fields' tensor-order. In this dataset, the momentum is a vector field (first-order tensor)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: ['density', 'pressure'], 1: ['velocity_x', 'velocity_y'], 2: []}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.metadata.field_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['density', 'pressure', 'velocity_x', 'velocity_y']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "field_names = [\n",
    "    name for group in dataset.metadata.field_names.values() for name in group\n",
    "]\n",
    "field_names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In an item, the input and output form a time-contiguous window in the trajectories. The total number of available windows in the dataset depends on the number of files, trajectories per file and timesteps per trajectory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6984\n"
     ]
    }
   ],
   "source": [
    "window_size = dataset.n_steps_input + dataset.n_steps_output\n",
    "\n",
    "total_windows = 0\n",
    "for i in range(dataset.metadata.n_files):\n",
    "    windows_per_trajectory = (\n",
    "        dataset.metadata.n_steps_per_trajectory[i] - window_size + 1\n",
    "    )\n",
    "    total_windows += (\n",
    "        windows_per_trajectory * dataset.metadata.n_trajectories_per_file[i]\n",
    "    )\n",
    "\n",
    "print(total_windows)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conveniently, this corresponds to the length of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6984"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the data\n",
    "\n",
    "The easiest way to visualize the data is to plot the fields separately. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "F = dataset.metadata.n_fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x480 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = dataset[42][\"input_fields\"]\n",
    "x = rearrange(x, \"T Lx Ly F -> F T Lx Ly\")\n",
    "\n",
    "fig, axs = plt.subplots(F, 4, figsize=(4 * 2.4, F * 1.2))\n",
    "\n",
    "for field in range(F):\n",
    "    vmin = np.nanmin(x[field])\n",
    "    vmax = np.nanmax(x[field])\n",
    "\n",
    "    axs[field, 0].set_ylabel(f\"{field_names[field]}\")\n",
    "\n",
    "    for t in range(4):\n",
    "        axs[field, t].imshow(\n",
    "            x[field, t], cmap=\"RdBu_r\", interpolation=\"none\", vmin=vmin, vmax=vmax\n",
    "        )\n",
    "        axs[field, t].set_xticks([])\n",
    "        axs[field, t].set_yticks([])\n",
    "\n",
    "        axs[0, t].set_title(f\"$x_{t}$\")\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing\n",
    "\n",
    "In most datasets of The Well, some quantities are always positive and/or vary greatly in magnitude. These quantities should be preprocessed before being passed to a neural network. In this notebook, we standardize the fields with respect to their mean and standard deviation over a subset of the training set. Alternatively one could set `use_normalization=True` and `normalization_type=ZScoreNormalization` when instantiating the dataset, which would standardize the fields with respect to their mean and standard deviation over the entire training set. Another normalization option is RMSNormalization which can be set by `use_normalization=True` and `normalization_type=RMSNormalization`, which will standardize the fields with respect to the rms values over the entire training set. Note that for correctly setting the normalization, both  `use_normalization` and `normalization_type` flags must be set since the default is `use_normalization=False` and `normalization_type=None`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs = []\n",
    "\n",
    "for i in range(0, 1000, 100):\n",
    "    x = dataset[i][\"input_fields\"]\n",
    "    xs.append(x)\n",
    "\n",
    "xs = torch.stack(xs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "mu = xs.reshape(-1, F).mean(dim=0).to(device)\n",
    "sigma = xs.reshape(-1, F).std(dim=0).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess(x):\n",
    "    return (x - mu) / sigma\n",
    "\n",
    "\n",
    "def postprocess(x):\n",
    "    return sigma * x + mu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training\n",
    "\n",
    "We train a small Fourier Neural Operator (FNO) to predict the $T_{out} = 1$ next states given the $T_{in} = 4$ previous states. We concatenate the input steps along their channels, such that the model expects $T_{in} \\times F$ channels as input and $T_{out} \\times F$ channels as output. Because `WellDataset` is a PyTorch dataset, we can use it conveniently with PyTorch data-loaders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = FNO(\n",
    "    n_modes=(16, 16),\n",
    "    in_channels=4 * F,\n",
    "    out_channels=1 * F,\n",
    "    hidden_channels=128,\n",
    "    n_layers=5,\n",
    ").to(device)\n",
    "\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=5e-3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1746/1746 [03:31<00:00,  8.26it/s, loss=0.0408]\n"
     ]
    }
   ],
   "source": [
    "train_loader = torch.utils.data.DataLoader(\n",
    "    dataset=dataset,\n",
    "    shuffle=True,\n",
    "    batch_size=4,\n",
    "    num_workers=4,\n",
    ")\n",
    "\n",
    "for epoch in range(1):\n",
    "    for batch in (bar := tqdm(train_loader)):\n",
    "        x = batch[\"input_fields\"]\n",
    "        x = x.to(device)\n",
    "        x = preprocess(x)\n",
    "        x = rearrange(x, \"B Ti Lx Ly F -> B (Ti F) Lx Ly\")\n",
    "\n",
    "        y = batch[\"output_fields\"]\n",
    "        y = y.to(device)\n",
    "        y = preprocess(y)\n",
    "        y = rearrange(y, \"B To Lx Ly F -> B (To F) Lx Ly\")\n",
    "\n",
    "        fx = model(x)\n",
    "\n",
    "        mse = (fx - y).square().mean()\n",
    "        mse.backward()\n",
    "\n",
    "        optimizer.step()\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        bar.set_postfix(loss=mse.detach().item())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluation\n",
    "\n",
    "Now that our model is trained, we can use it to make predictions. We evaluate the prediction with the variance-scaled root mean squared error (VRMSE) per field. In the manuscript, we report the VRMSE averaged over all fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "validset = WellDataset(\n",
    "    well_base_path=f\"{base_path}/datasets\",\n",
    "    well_dataset_name=\"turbulent_radiative_layer_2D\",\n",
    "    well_split_name=\"valid\",\n",
    "    n_steps_input=4,\n",
    "    n_steps_output=1,\n",
    "    use_normalization=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0.2684, 0.9130, 0.5672, 0.5341]], device='cuda:0')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item = validset[123]\n",
    "\n",
    "x = item[\"input_fields\"]\n",
    "x = x.to(device)\n",
    "x = preprocess(x)\n",
    "x = rearrange(x, \"Ti Lx Ly F -> 1 (Ti F) Lx Ly\")\n",
    "\n",
    "y = item[\"output_fields\"]\n",
    "y = y.to(device)\n",
    "\n",
    "with torch.no_grad():\n",
    "    fx = model(x)\n",
    "    fx = rearrange(fx, \"1 (To F) Lx Ly -> To Lx Ly F\", F=F)\n",
    "    fx = postprocess(fx)\n",
    "\n",
    "VRMSE.eval(fx, y, meta=validset.metadata)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "the_well",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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